17.5. Query Parallelism
As we have discussed in the preceding sections, parallelism is used to provide speed-up and scale-up. This is done so that the queries are executed faster by adding more resources and the increasing workload is handled without increasing the response time, by increasing the degree of parallelism. However, the main challenge in parallel databases is query parallelism. That is, how to design an architecture that will allow parallel execution of multiple queries, or decompose (divide) a query into parts that act in parallel. The shared-nothing parallel database architectures have been very successful for achieving this goal. Following are some of the query parallelism architectures to take care of such requirements:
Input/output ...
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